Databricks Engineer

🔥 14 minutes ago

🇺🇸 United States – Remote

💵 $100k - $120k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👷🏻‍♀️ Engineer

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v4c.ai

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

v4c. ai is a Databricks-focused data and AI services firm that helps enterprises modernize data platforms and accelerate AI initiatives. They provide advisory, migration, MLOps, generative AI, and data governance services, plus prebuilt migration accelerators and production-ready ML pipelines to reduce time-to-value. v4c. ai serves regulated and data-intensive industries (financial services, retail, manufacturing, healthcare) and emphasizes Databricks implementation, scalable model deployment, and long-term operational support.

📋 Description

• Build and maintain batch and streaming ETL pipelines using PySpark, SQL, and Delta Lake on Databricks • Implement Medallion architecture layers • Deploy and manage data resources on AWS, Azure, or GCP • Write and automate data validation and quality checks • Tune Spark jobs and SQL queries for performance and cost • Structure and clean enterprise datasets for downstream analytics and AI workloads • Troubleshoot pipeline failures and data quality issues, including in production • Work under a senior engineer or architect, owning a defined engagement component end to end • Ingest data from systems not designed for ingestion and transform it through Medallion layers • Participate in client-facing standups and working sessions • Occasionally explain technical complexity to stakeholders

🎯 Requirements

• 8+ years in data engineering/architecture or analytics platform development • Demonstrated ownership of end-to-end architecture for at least two enterprise-scale data platforms, from design through production • Deep experience migrating legacy data warehouses or ETL estates to a modern cloud platform (Teradata, Informatica, Hadoop, Netezza, or equivalent) • Strong proficiency in Python and SQL • Working knowledge of Apache Spark and distributed processing fundamentals • Experience with data modeling across dimensional, normalized, and Lakehouse patterns, and the judgment to know when each applies • Experience with CI/CD and DevOps practices for data platform deployment • Healthcare or life sciences experience preferred but not required • Databricks Certified Data Engineer Professional or a Platform Architect • Hands-on Databricks experience at scale: Unity Catalog, Delta Lake, Lakeflow, Asset Bundles • Experience with MLOps or productionizing machine learning workloads • Prior professional services, consulting, or customer-facing architecture background • Experience contributing to pre-sales scoping or technical proposals

🏖️ Benefits

• Unlimited PTO • Health Care Plan (Medical, Dental & Vision) • Retirement Plan (401k, IRA) • Life Insurance (Basic, Voluntary & AD&D) • Family Leave (Maternity, Paternity) • Short Term & Long Term Disability • Training & Development • Remote/WFH

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